[HTML][HTML] A survey of semantic web technology for agriculture

B Drury, R Fernandes, MF Moura… - Information Processing …, 2019 - Elsevier
Semantic web technologies have become a popular technique to apply meaning to
unstructured data. They have been infrequently applied to problems within the agricultural …

A comparative analysis of machine learning algorithms for detection of organic and nonorganic cotton diseases

S Kumar, A Jain, AP Shukla, S Singh… - Mathematical …, 2021 - Wiley Online Library
Cotton is the natural fiber produced, and the commercial crop grown in monoculture on 2.5%
of total agricultural land. Cotton is a drought‐resistant crop that provides a reliable income to …

Sustainable green fog computing for smart agriculture

R Qureshi, SH Mehboob, M Aamir - Wireless Personal Communications, 2021 - Springer
The evolution of information age coupled with the exponential growth of computing devices
paved the way for the concept of seamless connectivity. Since the traditional computing …

Advancement of mechanical automation in the agriculture sector and overview of IoT

AU Mentsiev, AR Isaev, KS Supaeva… - Journal of Physics …, 2019 - iopscience.iop.org
In the increasing population scenario, the agriculture sector is playing an important role to
overcome the food scarcity conditions for the food safety of the whole world. Mechanization …

A cloud-based prototype for the monitoring and predicting of data in precision agriculture based on internet of everything

K Suresh Kumar, S Balakrishnan, J Janet - Journal of Ambient Intelligence …, 2021 - Springer
To empower knowledgeable resolution and to gratify informational needs, farmers obligate
agricultural information and appropriate knowledge. In India, day by day, the agriculture …

A Review on Organic Cotton: Various Challenges, Issues and Application for Smart Agriculture

AG Harshitha, S Kumar, A Jain - 2021 10th International …, 2021 - ieeexplore.ieee.org
Cotton fiber is a historically significant, conventional, and natural fiber most widely used in
all varieties. Cotton production in the traditional sense necessitates the use of a lot of …

[PDF][PDF] The production costs calculation automation for planning the crops production parameters

K Zhichkin, V Nosov, L Zhichkina - CEUR Workshop Proceedings, 2021 - ceur-ws.org
The article discusses the possibility of using the technological maps development in crop
production to expand the functionality of various software products used in agriculture. The …

Intelligent drip irrigation and fertigation using wireless sensor networks

I Mohanraj, V Gokul, R Ezhilarasie… - … Innovations in ICT …, 2017 - ieeexplore.ieee.org
In agriculture, despite large-scale funding and extension of irrigation services it is a serious
concern that majority sectors are facing deficits in water management. Irrigation system is …

Big data analytics architecture for agro advisory system

P Shah, D Hiremath… - 2016 IEEE 23rd …, 2016 - ieeexplore.ieee.org
Modern trends in the agriculture domain have made people realize the importance of big
data. The key challenge of big data in agriculture is to identify the effectiveness of big data …

Fuzzy-based intelligent crop prediction over climate fluctuation using IoT

S Subramani, CC Vignesh, JA Daniel… - Cloud IoT systems for …, 2022 - taylorfrancis.com
The radical changes in moisture content in the crop field and fluctuating climatic conditions
create the need for precision agriculture. Machine Learning (ML) and the Internet of Things …